AI Science and Engineering and its Impact on the Society – Icarus | Computer Vision

DESCRIPTION

AI Science and Engineering is un upcoming scientific discipline that can fuse AI, brain and mind studies and social engineering in a new scientific discipline. It has huge impact on both our society and environment.

This CVML Web Module focuses on the “Introduction to AI Science and Engineering and its impact on the society and Environment”. It is ideal for personnel upskilling and reskilling on AI. The Module content can be configured on demand. It consists of 16 lectures covering some of the following topics:

Introduction to AI Science and Information Technology: Data, Signals, Systems, Mathematics, Data Acquisition, Processing and Analysis, Data Storage and Search, Computer Vision, Data Visualization, Computer Graphics and Animation, Virtual and Augmented Reality, Audio, Speech, and Text Analysis, Machine Learning. Pattern Recognition, Deep Learning, Information, Metadata, Semantics, Concepts, Symbolic Artificial Intelligence, Knowledge, Anthropocentric Computing, Robotics, Autonomy, Networks and the Internet, The World Wide Web, Social Media, Network analytics, Swarm Intelligence, Software, Computing, Communications, Security, Blockchain.

AI Science, Mind and Humans: Nervous System, Brain, Brain imaging, Brain connectome, Neural and Brain Models, Sensing, Human Senses, Perception, Interoception, Physical Intelligen, Action and Motion, Mind, Cognition, Memory, Intelligence, Affect, Affective Computing, Language and Speech, Written Language and Communication, Consciousness and Self-awareness, Self-aware Machines, Computational Brain Modeling Tools, Brain-Inspired Computing, Medicine, Medical Genomics, Medical Data, Medical Disinformation, Pharmaceutics and Drug Discovery, Anti-vaccination Movement, Ambient Assisted Living, Minors, Sex, Pornography, Social Flexibility and Personal Relations.

AI Science and Society: Identity, Intellectual Property,Privacy protection, Fake data, News and Agora, Media Production and Streaming, Music and Dance, Digital Humanities, Ex machina Arts, Computational Aesthetics, Research, Research Dissemination, Morphosis, Educational Methods, Education and Society, Truth, Justice, Digital Crime, Digital Markets,Online Marketing, Finance and Economics, AI and IT Economics, Cryptocurrencies, Non-Fungible Tokens, Digital Governance, Industry, Labor, Meta-agoras and Meta-societies, Politics and Democracy, Computational Politics, Societal and Political Networks, Social Activism, Irrationalism and Anti-elitism, Virtual Communities and Disinformation, Political Activism, Computational History, Computational Social Science, Ethics and Philosophy, Religion, Religious Practice and AI, Religious Art, War and Peace, Advanced Warfare, Revolution, Geopolitics, Trustworthy AI, Information and Knowledge society.

AI Science and the Environment: Space and Time, Life, Bioinformatics, Systems Biology, Animal and Plant Intelligence, Bio-inspired Machines, Epidemiology, Microcosm, Ecology, Agriculture, Sustainable and Precision Agriculture, Organic Farming, Earth Sensing, Meteorology, Climate Change, Archaeology and Restoration, Smart Cities, Land Transportation, Shipping, Aviation, Renewable Energy, Green Information Technologies, Sustainable Earth Resources, Geology and Seismology, Space and Astronomy, Law of Complexity.

All these lectures come from the new book “Artificial Intelligence Science and Society” that consists of four volumes (parts) debating all technical and social grand challenges of AI Science and Engineering in an understandable and scientifically accurate manner:

“Artificial Intelligence Science and Society Part A: Introduction to AI Science and Information Technology”

LECTURE LIST

CVML WEB LECTURE MODULE SCHEDULE

This module has been designed to be mastered within 1 week (or less), it helps non-technical people/students/scientists as well as first year CS/CSE/ EE/ECE or science and engineering students to grasp the basics of AI and its wide impact on our society. We propose that you follow the above mentioned Lecture order. You may want to skip few Lectures that might not be of immediate interest to you for later study.

On average you can study 4 lectures per week.